activity
20242026
most citedReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?

1 citations · 4 across the 5 of their papers we have counts for

collaborators

7 papers

astro-ph.IM2026

Bayesian Image Reconstruction with Spatially Variant PSFs in X-ray Astronomy

Vincent Eberle, Matteo Guardiani, Margret Westerkamp +4

X-ray observatories introduce unwanted instrumental effects into photon count data that must be accurately accounted for. In particular, the spatially variant point spread function…

astro-ph.GA2026★ 1 cited

The 3D Structure and Kinematics of the Local Disk-Halo Interface: Intermediate-velocity Clouds are the Minority of High-altitude Clouds in the Solar Neighborhood

Theo J. O'Neill, Andrew K. Saydjari, Catherine Zucker +4

Studies of the Milky Way's disk-halo interface have historically identified inflowing and outflowing gas incompatible with disk rotation on the basis of radial velocity, leading to…

astro-ph.IM2025

aim-resolve: Automatic Identification and Modeling for Bayesian Radio Interferometric Imaging

Richard Fuchs, Jakob Knollmüller, Jakob Roth +4

Modern radio interferometers deliver large volumes of data containing high-sensitivity sky maps over wide fields-of-view. These large area observations can contain various and supe…

cs.CL2025★ 1 cited

ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?

Christine Ye, Sihan Yuan, Suchetha Cooray +10

Frontier AI agents show increasing promise as scientific research assistants, and may eventually be useful for extended, open-ended research workflows. However, in order to use age…

astro-ph.IM2025★ 1 cited

Latent-space Field Tension for Astrophysical Component Detection An application to X-ray imaging

Matteo Guardiani, Vincent Eberle, Margret Westerkamp +3

Modern observatories are designed to deliver increasingly detailed views of astrophysical signals. To fully realize the potential of these observations, principled data-analysis me…

astro-ph.IM2024★ 1 cited

Bayesian Multi-wavelength Imaging of the LMC SN1987A with SRG/eROSITA

Vincent Eberle, Matteo Guardiani, Margret Westerkamp +4

The eROSITA Early Data Release (EDR) and eROSITA All-Sky Survey (eRASS1) data have already revealed a remarkable number of undiscovered X-ray sources. Using Bayesian inference and…

astro-ph.IM2024

J-UBIK: The JAX-accelerated Universal Bayesian Imaging Kit

Vincent Eberle, Matteo Guardiani, Margret Westerkamp +4

Many advances in astronomy and astrophysics originate from accurate images of the sky emission across multiple wavelengths. This often requires reconstructing spatially and spectra…